Overview

Dataset statistics

Number of variables12
Number of observations6939
Missing cells8923
Missing cells (%)10.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory650.7 KiB
Average record size in memory96.0 B

Variable types

DateTime1
Numeric10
Unsupported1

Alerts

PRECIPITACAO TOTAL, DIARIO (AUT)(mm) is highly overall correlated with TEMPERATURA DO PONTO DE ORVALHO MEDIA DIARIA (AUT)(°C) and 2 other fieldsHigh correlation
PRESSAO ATMOSFERICA MEDIA DIARIA (AUT)(mB) is highly overall correlated with TEMPERATURA DO PONTO DE ORVALHO MEDIA DIARIA (AUT)(°C) and 1 other fieldsHigh correlation
TEMPERATURA DO PONTO DE ORVALHO MEDIA DIARIA (AUT)(°C) is highly overall correlated with PRECIPITACAO TOTAL, DIARIO (AUT)(mm) and 4 other fieldsHigh correlation
TEMPERATURA MAXIMA, DIARIA (AUT)(°C) is highly overall correlated with TEMPERATURA MEDIA, DIARIA (AUT)(°C) and 1 other fieldsHigh correlation
TEMPERATURA MEDIA, DIARIA (AUT)(°C) is highly overall correlated with TEMPERATURA MAXIMA, DIARIA (AUT)(°C) and 1 other fieldsHigh correlation
TEMPERATURA MINIMA, DIARIA (AUT)(°C) is highly overall correlated with PRESSAO ATMOSFERICA MEDIA DIARIA (AUT)(mB) and 2 other fieldsHigh correlation
UMIDADE RELATIVA DO AR, MEDIA DIARIA (AUT)(%) is highly overall correlated with PRECIPITACAO TOTAL, DIARIO (AUT)(mm) and 2 other fieldsHigh correlation
UMIDADE RELATIVA DO AR, MINIMA DIARIA (AUT)(%) is highly overall correlated with PRECIPITACAO TOTAL, DIARIO (AUT)(mm) and 3 other fieldsHigh correlation
PRECIPITACAO TOTAL, DIARIO (AUT)(mm) has 328 (4.7%) missing valuesMissing
PRESSAO ATMOSFERICA MEDIA DIARIA (AUT)(mB) has 227 (3.3%) missing valuesMissing
TEMPERATURA DO PONTO DE ORVALHO MEDIA DIARIA (AUT)(°C) has 226 (3.3%) missing valuesMissing
TEMPERATURA MAXIMA, DIARIA (AUT)(°C) has 182 (2.6%) missing valuesMissing
TEMPERATURA MEDIA, DIARIA (AUT)(°C) has 307 (4.4%) missing valuesMissing
TEMPERATURA MINIMA, DIARIA (AUT)(°C) has 175 (2.5%) missing valuesMissing
UMIDADE RELATIVA DO AR, MEDIA DIARIA (AUT)(%) has 142 (2.0%) missing valuesMissing
VENTO, RAJADA MAXIMA DIARIA (AUT)(m/s) has 84 (1.2%) missing valuesMissing
VENTO, VELOCIDADE MEDIA DIARIA (AUT)(m/s) has 251 (3.6%) missing valuesMissing
Unnamed: 11 has 6939 (100.0%) missing valuesMissing
Data Medicao has unique valuesUnique
Unnamed: 11 is an unsupported type, check if it needs cleaning or further analysisUnsupported
PRECIPITACAO TOTAL, DIARIO (AUT)(mm) has 4217 (60.8%) zerosZeros

Reproduction

Analysis started2024-04-18 21:28:11.068592
Analysis finished2024-04-18 21:29:46.769636
Duration1 minute and 35.7 seconds
Software versionydata-profiling vv4.7.0
Download configurationconfig.json

Variables

Data Medicao
Date

UNIQUE 

Distinct6939
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size54.3 KiB
Minimum2001-01-01 00:00:00
Maximum2019-12-31 00:00:00
2024-04-18T18:29:46.998384image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-18T18:29:47.227092image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

PRECIPITACAO TOTAL, DIARIO (AUT)(mm)
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct279
Distinct (%)4.2%
Missing328
Missing (%)4.7%
Infinite0
Infinite (%)0.0%
Mean3.8269551
Minimum0
Maximum102.8
Zeros4217
Zeros (%)60.8%
Negative0
Negative (%)0.0%
Memory size54.3 KiB
2024-04-18T18:29:47.462226image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile22.8
Maximum102.8
Range102.8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation9.6911697
Coefficient of variation (CV)2.5323448
Kurtosis19.877961
Mean3.8269551
Median Absolute Deviation (MAD)0
Skewness3.9641114
Sum25300
Variance93.918771
MonotonicityNot monotonic
2024-04-18T18:29:47.677082image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4217
60.8%
0.2 237
 
3.4%
0.4 82
 
1.2%
0.8 79
 
1.1%
0.6 78
 
1.1%
1 63
 
0.9%
1.4 55
 
0.8%
1.2 54
 
0.8%
1.8 45
 
0.6%
2.6 43
 
0.6%
Other values (269) 1658
 
23.9%
(Missing) 328
 
4.7%
ValueCountFrequency (%)
0 4217
60.8%
0.2 237
 
3.4%
0.4 82
 
1.2%
0.6 78
 
1.1%
0.8 79
 
1.1%
1 63
 
0.9%
1.2 54
 
0.8%
1.4 55
 
0.8%
1.6 37
 
0.5%
1.8 45
 
0.6%
ValueCountFrequency (%)
102.8 1
< 0.1%
93.8 1
< 0.1%
93.6 1
< 0.1%
89.8 1
< 0.1%
85 1
< 0.1%
83.2 1
< 0.1%
80.8 1
< 0.1%
78 1
< 0.1%
77.8 1
< 0.1%
75.8 1
< 0.1%

PRESSAO ATMOSFERICA MEDIA DIARIA (AUT)(mB)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct149
Distinct (%)2.2%
Missing227
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean887.32394
Minimum879.3
Maximum907
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size54.3 KiB
2024-04-18T18:29:47.890929image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum879.3
5-th percentile883.8
Q1885.8
median887.2
Q3888.9
95-th percentile891.1
Maximum907
Range27.7
Interquartile range (IQR)3.1

Descriptive statistics

Standard deviation2.258892
Coefficient of variation (CV)0.0025457354
Kurtosis2.3055681
Mean887.32394
Median Absolute Deviation (MAD)1.5
Skewness0.40085077
Sum5955718.3
Variance5.1025931
MonotonicityNot monotonic
2024-04-18T18:29:48.093720image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
886.7 155
 
2.2%
886.5 149
 
2.1%
886.2 147
 
2.1%
886.4 141
 
2.0%
886.1 136
 
2.0%
887.3 133
 
1.9%
885.9 128
 
1.8%
887.1 127
 
1.8%
887 126
 
1.8%
885.6 124
 
1.8%
Other values (139) 5346
77.0%
(Missing) 227
 
3.3%
ValueCountFrequency (%)
879.3 1
 
< 0.1%
879.5 1
 
< 0.1%
879.8 1
 
< 0.1%
879.9 1
 
< 0.1%
880.2 2
< 0.1%
880.3 3
< 0.1%
880.4 1
 
< 0.1%
880.5 2
< 0.1%
880.6 1
 
< 0.1%
880.7 2
< 0.1%
ValueCountFrequency (%)
907 1
< 0.1%
906.7 1
< 0.1%
905.4 1
< 0.1%
902 1
< 0.1%
897.2 2
< 0.1%
896.1 1
< 0.1%
894.6 1
< 0.1%
894.5 1
< 0.1%
894.3 1
< 0.1%
893.9 2
< 0.1%

TEMPERATURA DO PONTO DE ORVALHO MEDIA DIARIA (AUT)(°C)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct194
Distinct (%)2.9%
Missing226
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean13.763236
Minimum-1.3
Maximum20.1
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)< 0.1%
Memory size54.3 KiB
2024-04-18T18:29:48.307453image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1.3
5-th percentile6.1
Q110.8
median15.1
Q317.2
95-th percentile18.3
Maximum20.1
Range21.4
Interquartile range (IQR)6.4

Descriptive statistics

Standard deviation4.0484147
Coefficient of variation (CV)0.29414702
Kurtosis-0.38634639
Mean13.763236
Median Absolute Deviation (MAD)2.6
Skewness-0.7850448
Sum92392.6
Variance16.389661
MonotonicityNot monotonic
2024-04-18T18:29:48.526001image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17.5 156
 
2.2%
17.8 151
 
2.2%
17.3 150
 
2.2%
17.6 149
 
2.1%
17.7 135
 
1.9%
17.2 127
 
1.8%
17 123
 
1.8%
17.4 120
 
1.7%
18 118
 
1.7%
17.9 115
 
1.7%
Other values (184) 5369
77.4%
(Missing) 226
 
3.3%
ValueCountFrequency (%)
-1.3 1
< 0.1%
-1.2 1
< 0.1%
-0.1 1
< 0.1%
0.4 1
< 0.1%
0.8 1
< 0.1%
1 2
< 0.1%
1.2 1
< 0.1%
1.3 2
< 0.1%
1.5 2
< 0.1%
1.6 2
< 0.1%
ValueCountFrequency (%)
20.1 1
 
< 0.1%
20 1
 
< 0.1%
19.9 2
 
< 0.1%
19.8 1
 
< 0.1%
19.6 1
 
< 0.1%
19.5 4
 
0.1%
19.4 3
 
< 0.1%
19.3 4
 
0.1%
19.2 9
0.1%
19.1 10
0.1%

TEMPERATURA MAXIMA, DIARIA (AUT)(°C)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct160
Distinct (%)2.4%
Missing182
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean27.176854
Minimum17.4
Maximum35.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size54.3 KiB
2024-04-18T18:29:48.723079image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum17.4
5-th percentile23.3
Q125.7
median27.1
Q328.7
95-th percentile31.2
Maximum35.4
Range18
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.3997268
Coefficient of variation (CV)0.08830039
Kurtosis0.41877467
Mean27.176854
Median Absolute Deviation (MAD)1.5
Skewness0.0031085369
Sum183634
Variance5.7586886
MonotonicityNot monotonic
2024-04-18T18:29:48.947222image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26.8 142
 
2.0%
27.4 132
 
1.9%
26.6 130
 
1.9%
27.2 130
 
1.9%
27.8 128
 
1.8%
27.1 126
 
1.8%
27.3 122
 
1.8%
26.5 119
 
1.7%
27 119
 
1.7%
28.1 119
 
1.7%
Other values (150) 5490
79.1%
(Missing) 182
 
2.6%
ValueCountFrequency (%)
17.4 1
 
< 0.1%
17.8 1
 
< 0.1%
18.3 1
 
< 0.1%
18.4 1
 
< 0.1%
18.8 1
 
< 0.1%
19.2 1
 
< 0.1%
19.3 3
< 0.1%
19.7 4
0.1%
19.8 1
 
< 0.1%
19.9 4
0.1%
ValueCountFrequency (%)
35.4 1
 
< 0.1%
35.3 1
 
< 0.1%
34.9 4
0.1%
34.7 1
 
< 0.1%
34.6 2
< 0.1%
34.5 1
 
< 0.1%
34.3 2
< 0.1%
34.2 3
< 0.1%
34.1 2
< 0.1%
34 2
< 0.1%

TEMPERATURA MEDIA, DIARIA (AUT)(°C)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct131
Distinct (%)2.0%
Missing307
Missing (%)4.4%
Infinite0
Infinite (%)0.0%
Mean21.395054
Minimum14
Maximum28.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size54.3 KiB
2024-04-18T18:29:49.160254image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile18.5
Q120.1
median21.3
Q322.6
95-th percentile24.8
Maximum28.8
Range14.8
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation1.9138038
Coefficient of variation (CV)0.089450755
Kurtosis0.44240818
Mean21.395054
Median Absolute Deviation (MAD)1.2
Skewness0.25525337
Sum141892
Variance3.6626448
MonotonicityNot monotonic
2024-04-18T18:29:49.367154image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.8 195
 
2.8%
21 173
 
2.5%
21.2 165
 
2.4%
21.1 163
 
2.3%
21.4 154
 
2.2%
21.3 145
 
2.1%
21.5 143
 
2.1%
20.6 142
 
2.0%
20.5 142
 
2.0%
22.3 141
 
2.0%
Other values (121) 5069
73.1%
(Missing) 307
 
4.4%
ValueCountFrequency (%)
14 1
 
< 0.1%
14.5 1
 
< 0.1%
14.7 2
< 0.1%
14.9 2
< 0.1%
15 3
< 0.1%
15.3 3
< 0.1%
15.4 1
 
< 0.1%
15.5 2
< 0.1%
15.7 2
< 0.1%
15.8 4
0.1%
ValueCountFrequency (%)
28.8 1
 
< 0.1%
28.4 2
< 0.1%
28.2 1
 
< 0.1%
27.9 1
 
< 0.1%
27.8 3
< 0.1%
27.6 1
 
< 0.1%
27.5 1
 
< 0.1%
27.4 3
< 0.1%
27.3 4
0.1%
27.1 4
0.1%

TEMPERATURA MINIMA, DIARIA (AUT)(°C)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct136
Distinct (%)2.0%
Missing175
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean16.766854
Minimum8.5
Maximum23.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size54.3 KiB
2024-04-18T18:29:49.579036image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum8.5
5-th percentile12.5
Q115.4
median17.3
Q318.4
95-th percentile19.5
Maximum23.3
Range14.8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.1994518
Coefficient of variation (CV)0.13117856
Kurtosis0.078666997
Mean16.766854
Median Absolute Deviation (MAD)1.3
Skewness-0.74348561
Sum113411
Variance4.8375881
MonotonicityNot monotonic
2024-04-18T18:29:49.793925image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18 191
 
2.8%
18.1 187
 
2.7%
18.3 175
 
2.5%
18.4 174
 
2.5%
17.8 170
 
2.4%
18.2 164
 
2.4%
17.9 160
 
2.3%
18.7 159
 
2.3%
18.6 159
 
2.3%
18.5 155
 
2.2%
Other values (126) 5070
73.1%
(Missing) 175
 
2.5%
ValueCountFrequency (%)
8.5 1
< 0.1%
8.8 1
< 0.1%
8.9 2
< 0.1%
9.2 2
< 0.1%
9.3 2
< 0.1%
9.4 1
< 0.1%
9.5 1
< 0.1%
9.6 1
< 0.1%
9.7 1
< 0.1%
9.8 2
< 0.1%
ValueCountFrequency (%)
23.3 1
 
< 0.1%
22.6 1
 
< 0.1%
22.4 2
 
< 0.1%
22.2 1
 
< 0.1%
22.1 1
 
< 0.1%
22 1
 
< 0.1%
21.9 3
< 0.1%
21.8 3
< 0.1%
21.7 5
0.1%
21.6 1
 
< 0.1%

UMIDADE RELATIVA DO AR, MEDIA DIARIA (AUT)(%)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct719
Distinct (%)10.6%
Missing142
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean65.633235
Minimum19.7
Maximum98.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size54.3 KiB
2024-04-18T18:29:50.185155image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum19.7
5-th percentile35.9
Q154.6
median67.6
Q378.9
95-th percentile87.5
Maximum98.6
Range78.9
Interquartile range (IQR)24.3

Descriptive statistics

Standard deviation16.017776
Coefficient of variation (CV)0.24404977
Kurtosis-0.54998257
Mean65.633235
Median Absolute Deviation (MAD)11.9
Skewness-0.4891906
Sum446109.1
Variance256.56914
MonotonicityNot monotonic
2024-04-18T18:29:50.467681image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
79 31
 
0.4%
77.8 31
 
0.4%
81 29
 
0.4%
81.3 29
 
0.4%
82.5 29
 
0.4%
78.7 28
 
0.4%
86.5 27
 
0.4%
80.8 26
 
0.4%
65.3 26
 
0.4%
67 25
 
0.4%
Other values (709) 6516
93.9%
(Missing) 142
 
2.0%
ValueCountFrequency (%)
19.7 1
< 0.1%
20.9 2
< 0.1%
21 1
< 0.1%
21.1 1
< 0.1%
21.3 1
< 0.1%
21.7 1
< 0.1%
22 2
< 0.1%
22.1 1
< 0.1%
22.4 1
< 0.1%
22.5 1
< 0.1%
ValueCountFrequency (%)
98.6 1
< 0.1%
98.2 1
< 0.1%
97.8 1
< 0.1%
97.5 1
< 0.1%
97.3 1
< 0.1%
97 1
< 0.1%
96.5 1
< 0.1%
96 1
< 0.1%
95.5 1
< 0.1%
95.1 1
< 0.1%

UMIDADE RELATIVA DO AR, MINIMA DIARIA (AUT)(%)
Real number (ℝ)

HIGH CORRELATION 

Distinct83
Distinct (%)1.2%
Missing62
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean41.611895
Minimum10
Maximum94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size54.3 KiB
2024-04-18T18:29:50.823854image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile20
Q131
median41
Q352
95-th percentile66
Maximum94
Range84
Interquartile range (IQR)21

Descriptive statistics

Standard deviation14.362248
Coefficient of variation (CV)0.34514765
Kurtosis-0.27786413
Mean41.611895
Median Absolute Deviation (MAD)10
Skewness0.29088681
Sum286165
Variance206.27416
MonotonicityNot monotonic
2024-04-18T18:29:51.335028image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 201
 
2.9%
41 188
 
2.7%
31 186
 
2.7%
33 177
 
2.6%
34 177
 
2.6%
39 176
 
2.5%
47 175
 
2.5%
32 173
 
2.5%
46 167
 
2.4%
30 166
 
2.4%
Other values (73) 5091
73.4%
ValueCountFrequency (%)
10 4
 
0.1%
11 11
 
0.2%
12 19
 
0.3%
13 31
0.4%
14 36
0.5%
15 20
 
0.3%
16 47
0.7%
17 50
0.7%
18 56
0.8%
19 62
0.9%
ValueCountFrequency (%)
94 1
 
< 0.1%
92 1
 
< 0.1%
91 2
 
< 0.1%
90 2
 
< 0.1%
89 4
0.1%
88 5
0.1%
87 2
 
< 0.1%
85 3
< 0.1%
84 4
0.1%
83 2
 
< 0.1%

VENTO, RAJADA MAXIMA DIARIA (AUT)(m/s)
Real number (ℝ)

MISSING 

Distinct160
Distinct (%)2.3%
Missing84
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean8.8829905
Minimum1.5
Maximum26.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size54.3 KiB
2024-04-18T18:29:51.592905image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.5
5-th percentile6.2
Q17.6
median8.6
Q39.9
95-th percentile12.3
Maximum26.4
Range24.9
Interquartile range (IQR)2.3

Descriptive statistics

Standard deviation1.9853577
Coefficient of variation (CV)0.22350105
Kurtosis4.4459643
Mean8.8829905
Median Absolute Deviation (MAD)1.1
Skewness1.2246305
Sum60892.9
Variance3.9416453
MonotonicityNot monotonic
2024-04-18T18:29:51.828948image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 198
 
2.9%
8.6 185
 
2.7%
8.3 182
 
2.6%
8.1 180
 
2.6%
8.8 177
 
2.6%
7.5 170
 
2.4%
8.5 168
 
2.4%
8.4 164
 
2.4%
9 161
 
2.3%
9.3 160
 
2.3%
Other values (150) 5110
73.6%
ValueCountFrequency (%)
1.5 1
< 0.1%
1.9 1
< 0.1%
2.3 1
< 0.1%
2.7 1
< 0.1%
3.3 1
< 0.1%
3.4 1
< 0.1%
3.6 2
< 0.1%
3.7 2
< 0.1%
3.8 1
< 0.1%
3.9 2
< 0.1%
ValueCountFrequency (%)
26.4 1
< 0.1%
24.3 1
< 0.1%
23.5 1
< 0.1%
21.7 1
< 0.1%
21 1
< 0.1%
20.7 1
< 0.1%
19.7 1
< 0.1%
19.5 1
< 0.1%
19.1 1
< 0.1%
19 1
< 0.1%
Distinct47
Distinct (%)0.7%
Missing251
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean2.3979964
Minimum0.7
Maximum5.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size54.3 KiB
2024-04-18T18:29:52.051855image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.7
5-th percentile1.4
Q11.8
median2.3
Q32.9
95-th percentile3.8
Maximum5.5
Range4.8
Interquartile range (IQR)1.1

Descriptive statistics

Standard deviation0.73136008
Coefficient of variation (CV)0.30498798
Kurtosis0.24323991
Mean2.3979964
Median Absolute Deviation (MAD)0.5
Skewness0.69264679
Sum16037.8
Variance0.53488757
MonotonicityNot monotonic
2024-04-18T18:29:52.323905image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
1.9 422
 
6.1%
1.8 393
 
5.7%
2.1 384
 
5.5%
2 378
 
5.4%
2.2 370
 
5.3%
1.7 352
 
5.1%
2.4 350
 
5.0%
2.3 341
 
4.9%
1.6 297
 
4.3%
2.5 285
 
4.1%
Other values (37) 3116
44.9%
ValueCountFrequency (%)
0.7 1
 
< 0.1%
0.8 3
 
< 0.1%
0.9 8
 
0.1%
1 23
 
0.3%
1.1 30
 
0.4%
1.2 73
 
1.1%
1.3 117
 
1.7%
1.4 162
2.3%
1.5 222
3.2%
1.6 297
4.3%
ValueCountFrequency (%)
5.5 1
 
< 0.1%
5.4 1
 
< 0.1%
5.1 3
 
< 0.1%
5 3
 
< 0.1%
4.9 8
0.1%
4.8 13
0.2%
4.7 10
0.1%
4.6 11
0.2%
4.5 9
0.1%
4.4 13
0.2%

Unnamed: 11
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6939
Missing (%)100.0%
Memory size54.3 KiB

Interactions

2024-04-18T18:29:39.090989image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-18T18:28:12.195076image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-18T18:28:25.908453image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-18T18:28:33.338860image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-18T18:28:42.380151image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-18T18:28:50.402397image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-18T18:28:58.385822image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-18T18:29:06.086562image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-18T18:29:23.922732image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-18T18:29:30.735899image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-18T18:29:40.072901image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-18T18:28:14.886850image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-18T18:28:27.018654image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-18T18:28:34.797284image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
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2024-04-18T18:28:51.836233image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-18T18:28:59.713248image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
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2024-04-18T18:29:25.328403image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-18T18:29:31.903313image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-18T18:29:40.421638image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-18T18:28:15.767048image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-18T18:28:27.471419image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
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2024-04-18T18:29:32.616911image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-18T18:29:41.269793image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-18T18:28:17.185060image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
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2024-04-18T18:28:53.686209image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
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2024-04-18T18:29:13.366397image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-18T18:29:26.792030image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-18T18:29:34.042248image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
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2024-04-18T18:29:15.081125image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-18T18:29:27.160880image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-18T18:29:34.838964image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
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2024-04-18T18:28:56.744519image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-18T18:29:04.606819image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-18T18:29:19.468760image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-18T18:29:29.936208image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-18T18:29:37.391253image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-18T18:29:44.544487image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
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2024-04-18T18:28:41.255770image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-18T18:28:49.392158image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-18T18:28:57.261539image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-18T18:29:04.927325image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-18T18:29:20.629888image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-18T18:29:30.085366image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-18T18:29:37.755347image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-18T18:29:45.132631image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-18T18:28:24.664031image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-18T18:28:32.999538image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-18T18:28:41.929745image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-18T18:28:50.003247image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-18T18:28:57.838711image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-18T18:29:05.527464image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-18T18:29:22.354309image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-18T18:29:30.526230image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-18T18:29:38.673146image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Correlations

2024-04-18T18:29:52.483109image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
PRECIPITACAO TOTAL, DIARIO (AUT)(mm)PRESSAO ATMOSFERICA MEDIA DIARIA (AUT)(mB)TEMPERATURA DO PONTO DE ORVALHO MEDIA DIARIA (AUT)(°C)TEMPERATURA MAXIMA, DIARIA (AUT)(°C)TEMPERATURA MEDIA, DIARIA (AUT)(°C)TEMPERATURA MINIMA, DIARIA (AUT)(°C)UMIDADE RELATIVA DO AR, MEDIA DIARIA (AUT)(%)UMIDADE RELATIVA DO AR, MINIMA DIARIA (AUT)(%)VENTO, RAJADA MAXIMA DIARIA (AUT)(m/s)VENTO, VELOCIDADE MEDIA DIARIA (AUT)(m/s)
PRECIPITACAO TOTAL, DIARIO (AUT)(mm)1.000-0.4770.671-0.214-0.1320.3040.7030.6200.100-0.199
PRESSAO ATMOSFERICA MEDIA DIARIA (AUT)(mB)-0.4771.000-0.617-0.220-0.331-0.582-0.479-0.403-0.1090.285
TEMPERATURA DO PONTO DE ORVALHO MEDIA DIARIA (AUT)(°C)0.671-0.6171.000-0.1660.0240.5880.9150.8530.079-0.272
TEMPERATURA MAXIMA, DIARIA (AUT)(°C)-0.214-0.220-0.1661.0000.8890.350-0.468-0.570-0.021-0.201
TEMPERATURA MEDIA, DIARIA (AUT)(°C)-0.132-0.3310.0240.8891.0000.593-0.326-0.3600.015-0.099
TEMPERATURA MINIMA, DIARIA (AUT)(°C)0.304-0.5820.5880.3500.5931.0000.3280.3170.190-0.039
UMIDADE RELATIVA DO AR, MEDIA DIARIA (AUT)(%)0.703-0.4790.915-0.468-0.3260.3281.0000.9450.068-0.220
UMIDADE RELATIVA DO AR, MINIMA DIARIA (AUT)(%)0.620-0.4030.853-0.570-0.3600.3170.9451.0000.077-0.105
VENTO, RAJADA MAXIMA DIARIA (AUT)(m/s)0.100-0.1090.079-0.0210.0150.1900.0680.0771.0000.493
VENTO, VELOCIDADE MEDIA DIARIA (AUT)(m/s)-0.1990.285-0.272-0.201-0.099-0.039-0.220-0.1050.4931.000

Missing values

2024-04-18T18:29:45.612773image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-18T18:29:45.950022image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

Data MedicaoPRECIPITACAO TOTAL, DIARIO (AUT)(mm)PRESSAO ATMOSFERICA MEDIA DIARIA (AUT)(mB)TEMPERATURA DO PONTO DE ORVALHO MEDIA DIARIA (AUT)(°C)TEMPERATURA MAXIMA, DIARIA (AUT)(°C)TEMPERATURA MEDIA, DIARIA (AUT)(°C)TEMPERATURA MINIMA, DIARIA (AUT)(°C)UMIDADE RELATIVA DO AR, MEDIA DIARIA (AUT)(%)UMIDADE RELATIVA DO AR, MINIMA DIARIA (AUT)(%)VENTO, RAJADA MAXIMA DIARIA (AUT)(m/s)VENTO, VELOCIDADE MEDIA DIARIA (AUT)(m/s)Unnamed: 11
02001-01-0122.4885.418.824.620.718.789.369.07.41.7NaN
12001-01-0237.2885.918.324.720.718.58767.092.4NaN
22001-01-03NaN886.817.826.5NaN18.777.255.092.8NaN
32001-01-04NaN888.517.526.3NaN17.480.259.010.13NaN
42001-01-05NaN887.91727.2NaN18.572.143.09.63.4NaN
52001-01-06NaN886.714.327.7NaN17.160.735.08.32.4NaN
62001-01-07NaN885.616.428.7NaN18.168.544.0111.9NaN
72001-01-08NaNNaNNaNNaNNaN1971.447.07.5NaNNaN
82001-01-09NaNNaN15.628.3NaN18.662.640.08.42.5NaN
92001-01-10NaN886.614.227.3NaN2054.940.08.12.9NaN
Data MedicaoPRECIPITACAO TOTAL, DIARIO (AUT)(mm)PRESSAO ATMOSFERICA MEDIA DIARIA (AUT)(mB)TEMPERATURA DO PONTO DE ORVALHO MEDIA DIARIA (AUT)(°C)TEMPERATURA MAXIMA, DIARIA (AUT)(°C)TEMPERATURA MEDIA, DIARIA (AUT)(°C)TEMPERATURA MINIMA, DIARIA (AUT)(°C)UMIDADE RELATIVA DO AR, MEDIA DIARIA (AUT)(%)UMIDADE RELATIVA DO AR, MINIMA DIARIA (AUT)(%)VENTO, RAJADA MAXIMA DIARIA (AUT)(m/s)VENTO, VELOCIDADE MEDIA DIARIA (AUT)(m/s)Unnamed: 11
69292019-12-22088617.130.223.419.469.243.06.81.9NaN
69302019-12-230886.516.629.222.118.573.244.011.82.4NaN
69312019-12-2413.6886.116.925.620.516.880.257.07.11.8NaN
69322019-12-251.6886.316.926.821.718.37545.07.11.8NaN
69332019-12-260887.217.628.622.818.774.148.07.61.6NaN
69342019-12-2708871728.523.819.667.743.09.72.9NaN
69352019-12-28.2886.415.42923.919.360.532.08.93NaN
69362019-12-290885.415.229.824.218.459.534.07.82.5NaN
69372019-12-30088415.129.12418.458.738.08.12.2NaN
69382019-12-310884.216.927.121.417.777.348.09.51.5NaN